Ian Smith writing for Financial Times: AI, which sifts data and aims to learn like humans, is allowing insurers to produce highly individualised profiles of customer risk that evolve in real time. In parts of the market, it is being used to refine or replace the traditional model of an annual premium, creating contracts that … Continue reading How AI is shaping up consumer behaviour
While expanding the scope for "regulation" of technology appears contrary to what silicon valley wants you to believe, there is enough merit in it. I am linking to a fascinating discussion around it on YouTube and highlighting specific issues from the transcript: https://www.youtube.com/watch?v=rsaIqlwOSa8 And how do we want to balance the privacy that we care … Continue reading System Error
Healthcare is on the brink of revolution, owing to the rapid industrialisation of medicine. We are not talking about 'global challenges', but far from meeting them. Healthcare is very splintered across the geography that it would be impractical to implement "technological advances" without giving due cognisance to socio-cultural issues. I find it surprising, because investors' … Continue reading Healthcare Innovation: Tackling it head-on
This is an interesting paper that was posted in Arxiv and I did a quick summary of this to highlight the fact that Twitter is NOT a learning source. There are better ways to go about it. It is a myth that it leads to better learning experience, but individual timelines are variable and difficult … Continue reading Twitter as an echo chamber
The O-Ring model is an interesting conceptual idea: (from the paper attached herein) Many production processes consist of a series of tasks, mistakes in any of which can dramatically reduce the product's value. The space shuttle Challenger had thousands of components: it exploded because it was launched at a temperature that caused one of those … Continue reading Does Radiation Oncology follow the “O-Ring” model?
RadOncNotes 